Everything is getting smarter these days even traffic lights. The American traffic lights that have remained essentially unchanged for 100 years, are now influenced by machine learning. The result is a more efficient, safer and greener transportation world. Technology for preemption of traffic signals, for example will help drivers avoid dangerous collisions with pedestrians. A system that combines traffic light and e-bike/scooter sensors will automatically time stops so that they align with commuter travel schedules.

IoT sensors and connectivity technologies allow smarter traffic control systems that maximize energy efficiency by optimizing signal timings based on the current conditions. The data that cameras and sensors can be processed on the device or transmitted to an infrastructure for traffic management, where it is incorporated into AI-based algorithms. The result is a more precise modeling and a predictive analysis that can help to avoid congestion, improve schedules for public transit and reduce carbon emission.

These advanced technologies are able to transform the urban transport system. Smart e-bike/scooter sensors, for example can detect and transmit the location of personal vehicles shared by others to make ride sharing more efficient. Micromobility payment systems on the other hand, enable on-street parking or road tolls without the need for correct change.

Smart traffic technology that is based on IoT can also boost the efficiency of public transport, allowing commuters to track buses and trams in real-time through live tracking apps. Intelligent intersection technology could help prioritize emergency vehicles so they arrive at their destination quicker – a breakthrough that has already reduced the number of crashes in certain cities.

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